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RiskClassificationModel_20260211_123330_233c49a4 – AI Model by regagent-ai | AlphaNeural AI
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regagent-ai
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RiskClassificationModel_20260211_123330_233c49a4
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
regagent-ai/MultiLabel-Risk-Extended-Classifier-BERT-v1
finetune
text-embeddings-inference
endpoints_compatible
us
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RiskClassificationModel_20260211_123330_233c49a4
This model is a fine-tuned version of
regagent-ai/MultiLabel-Risk-Extended-Classifier-BERT-v1
on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.6.0+cu124
Datasets 4.4.2
Tokenizers 0.22.1
